著作目錄

Journal:

1.     Wee Shin Lim, Shu-I Chiu, Pei-Ling Peng, Jyh-Shing Roger Jang, Sol-Hee Lee, Chin-Hsien Lin, and Han-Joon Kim, A cross-language speech model for detection of Parkinson’s disease, Journal of Neural Transmission, 2024

2.     Yung-Tsai Chu, Chin-Feng Yu, Sung-Pin Fan, Ta-Fu Chen, Ming-Jang Chiu, Jyh-Shing Roger Jang, Shu-I Chiu*, Chin-Hsien Lin*, Substantia nigra nigrosome-1 imaging correlates with the severity of motor symptoms in Parkinson's disease, Journal of the Neurological Sciences, Vol. 451, 2023. (* Corresponding authors)

3.     Chiu, Shu-i; Fan, Ling-Yun; Lin, Chin-Hsien; Chen, Ta-Fu; Lim, Wee Shin;  Jang, Jyh-Shing; Chiu, Ming-Jang, Machine-learning-based classification of subjective cognitive decline, mild cognitive impairment, and Alzheimer’s dementia using neuroimage and plasma biomarkers, ACS Chemical Neuroscience. 2022.

4.     Wee Shin Lim, Shu-i Chiu, Meng-Ciao Wu, Shu-Fen Tsai, Pu-He Wang, Kun-Pei Lin, Yung-Ming Chen, Pei-Ling Peng, Yung-Yaw Chen, Jyh-Shing Roger Jang, Chin-Hsien Lin, MD. An integrated biometric voice and facial features for early detection of Parkinson’s disease. npj Parkinsons Dis. 8, 145 (2022).

5.     段人鳯、邱淑怡、劉慧雯, 以社群媒體語言建構深度學習模型:以「校正回歸」為例, 中文計算語言學期刊;271 (2022 / 06 / 01) P153-179<檔案>

6.     Chang-Fu Su, Shu-I Chiu, Jyh-Shing Roger Jang, Feipei Lai, Improved Inpatient Deterioration Detection in General Wards by Using Time-Series Vital Signs, Scientific reports, 20 May 2022. <Dataset: Training dataset and test dataset>

7.     Ta-Ching Chen, Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal DegenerationJ. Digit. Imaging 34(4)948-958 ().

8.     Chin-Hsien Lin, Shu-i Chiu, Ta-Fu Chen, Jyh-Shing Roger Jang and Ming-Jang Chiu. Classifications of neurodegenerative disorders using a multiplex blood biomarkers-based machine learning Model. International Journal of Molecular Sciences, 2020 Sep 21; 21(18):E6914. doi: 10.3390/ijms21186914.

9.     Shu-I Chiu and Kuo-Wei Hsu. Efficiently processing skyline query on multi-instance data. Journal of Information Processing Systems, vol. 13, no 5, pp. 1277-1298, 2017. doi: 10.3745/JIPS.04.0049.

 

Conference:

1.         Shu-I Chiu and Ting-Wei Jhou, Sarcasm Detection of Facebook’s posts using machine learning models, International Conference on Natural Language Processing and Information Retrieval (NLPIR ‘24), pp. 349-354, December 13-15, 2024 (Okayama, Japan). (ORCID: https://orcid.org/0000-0001-8027-9686)

2.         Shu-I Chiu, Deep Learning Models for Predicting Political Tendency in Facebook Posts Incorporating Texts and Emojis, International Conference on Data-driven Optimization of Complex Systems (DOCS), August 16-18, 2024 (Hangzhou, China).

3.         Ting-Wei Jhou, Shu-I Chiu. Sentiment analysis of vaccine’s post during covid-19 pandemic in Taiwan on social media, In 2023 TANET&NCS.

4.         Shu-i Chiu, Chin-Hsien Lin, Wee Shun Lim, Ming-Jang, Chiu, Ta-Fu, Chen, and Jyh-Shing Roger Jang. Predicting neurodegenerative diseases using a novel blood biomarkers-based model by machine learning. International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019).

5.         Hsiao-Ko Chang, Cheng-Tse Wu, Wee Shin Lim, Hui-Chih Wang, Shu-i Chiu, and Jyh-Shing Roger Jang. Early Detecting In-hospital Cardiac Arrest Based on Machine Learning on Imbalanced Data. IEEE International Conference on Healthcare Informatics (ICHI 2019).

6.         Shu-i Chiu and Kuo-Wei Hsu. User Mining to Find Important Facebook Users. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 110-114, 2018.

7.         Shu-i Chiu and Kuo-Wei Hsu. Predicting political tendency of posts on Facebook. In the 2018 7th International Conference on Software and Computer Applications (ICSCA 2018), pp. 124-128, 2018.

8.         Shu-i Chiu and Kuo-Wei Hsu. Information diffusion on Facebook: A case study of the sunflower student movement in Taiwan. In Proceedings of the 11th International Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05 - 07, 2017), 48, 2017.

9.         Che-Chia Chang, Shu-i Chiu, and Kuo-Wei Hsu. Predicting political affiliation of posts on Facebook. In Proceedings of the 11th International Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05- 07, 2017), 58, 2017.

10.     Shu-i Chiu and Kuo-Wei Hsu. Skyline query processing for rating data. In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 - July 1, 2016),305, 2016.

11.     Hsin-Ping Chen, Kuo-Wei Hsu, and Shu-i Chiu. Event detection in an ego network on Facebook. In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 - July 1, 2016), 172, 2016.